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Record W7117370765 · doi:10.1016/j.seppur.2025.136672

Acid recovery with diffusion dialysis to improve rare earth extraction economics

2025· article· en· W7117370765 on OpenAlex
Óscar Crespo, Julio López, M. Hermassi, Oriol Gibert, Jordi Cama, José Luis Cortina

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSeparation and Purification Technology · 2025
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
FundersEIT RawMaterialsAgencia Estatal de InvestigaciónMinisterio de Ciencia e InnovaciónGeneralitat de CatalunyaAgència de Gestió d'Ajuts Universitaris i de RecercaInstitució Catalana de Recerca i Estudis Avançats
KeywordsOxalic acidPermeationExtraction (chemistry)ElutionIon exchangeDialysisAlkali metalNitric acidDiffusion

Abstract

fetched live from OpenAlex

Acidic Mine Waters (AMWs), rich in dissolved metals and sulphates, contain a significant amount of rare earth elements (REEs), making their recovery attractive. Due to the natural composition of AMWs, ion-exchange (IX) technologies can selectively extract REE, but at the expense of a large excess consumption of sulphuric acid to regenerate the IX resins. As a matter of fact, the higher the sulphuric concentration applied during regeneration, the higher the REE concentration factors achieved in the eluate. This excess of free acid concentration in the eluate makes the REEs recovery both a technical and an economic challenge, due to the large amounts of chemicals needed (i.e., alkali for acidity neutralization and oxalic acid for subsequent REE precipitation). Diffusion dialysis (DD), a membrane-based separation process, has been postulated as an option for the selective recovery of sulphuric acid from the IX eluates, leaving a stream concentrated in REE and other metals rejected by the membrane. This work aimed to obtain the greatest sulphuric acid recovery with the minimum losses of REE by permeation through the DD membrane. An anion exchange membrane (AEM), containing a quaternary ammonium functional group, was used first to characterise ion transport through the AEM in batch configuration, and, second, to assess the effect of flow-rate on acid recovery in dynamic mode. A complex synthetic eluate containing REEs and interfering cations, co-extracted during the IX stage, was used, achieving rejection efficiencies >96 % for major metal ions (Na + , Ca 2+ , Mg 2+ , and Al 3+ ), while maintaining recoveries of sulphuric acid of 78–85 %. This selective transport was governed primarily by Donnan and dielectric exclusion mechanisms, further modulated by ionic charge, hydrated radius, and concentration gradients. The separation resulted in REE-containing solutions with tailored ionic profiles (e.g., sulphuric acid solutions) for subsequent crystallization as oxalates, leading to reduced reagent consumption and higher purity of the solid obtained. • Diffusion dialysis (DD) enables acid recycling, reducing process costs. • Integration of DD in ion-exchange processes for rare earth elements (REEs) recovery • High sulphuric acid recovery (>78 %) via diffusion dialysis • Metal cation rejection exceeds 96 % by Fumasep FAQP-375-PP. • Diffusion dialysis reduces chemical consumption in rare earth processing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.239
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it